The illegal trade of wild meat poses a severe threat to the survival of
wildlife populations. The decline in the number of some species has been
directly linked to these illegal activities. Poachers and traders of
illegal wild meat products often mask them as livestock meat to sell to
consumers who may or may not be complicit. However, new technologies can
more accurately identify the genetic makeup of confiscated wild meat and
meat sold in markets. Random meat sampling and molecular analysis are
routinely used to detect wild meat, thereby identifying illegal trade
hotspots. Here, we documented incidences of wild meat prevalence in
butcheries in Kenya through random sampling and compared the proportion of
meat that tested positive with wild meat exhibits confiscated by officers
in conservation management areas (CA) over a two-year period that
corresponded with the sampling period. As such, we sought to map illegal
trade hotspots within five CA to guide management and policies. 241 meat
samples from market surveys conducted between 2020-2021 were sequenced for
species identification using standard mammalian barcoding, whereas 112
samples obtained from confiscations over the same period were analyzed
using the same method for comparison. In total, over seven years
(2015-2021), 567 samples were confiscated by law enforcement officers. Out
of the 241 meat samples that were purchased, 13 tested positive for wild
meat. Overall, market sampling underestimated the incidences of wild meat
trade. However, the combined dataset identified Southern, Central Rift,
and Tsavo CA as dominant hotspots in both volume and species richness for
illegal wild meat trade. Our study emphasizes the importance of
countrywide and enhanced monitoring of threatened species, as well as
strengthened coordination between local intelligence gathering and field
operations to protect biodiversity, determine trade routes and transit
hubs, and refine the effectiveness of policy. # Data from: Enhancing hotspot mapping of illegal wild meat trade in Kenya
through market surveys and confiscated meat analyses Dataset DOI:
[10.5061/dryad.v15dv4297](
doi.org) ##
Description of the data and file structure Principle Investigator Contact
Information Name: Moses Y. Otiende Institution: Kenya Wildlife and
Research Training Institute / Kenya Wildlife Service Email:
[motiende@wrti.go.ke](mailto:motiende@wrti.go.ke) Alternate Contact
Information Name: Arthur B. Muneza Institution: Giraffe Conservation
Foundation Email:
[arthur@giraffeconservation.org](mailto:arthur@giraffeconservation.org)
#### Data overview **File name: Confisc_Data_Otiende_et_al.xlsx** This
dataset contains collated information from confiscations that occurred
throughout Kenya between 2015 and 2021. The data includes names of nearby
towns where meat samples were confiscated, then later grouped into
conservation areas as defined by the Kenya Wildlife Service (either
Central Rift, Coast, Eastern, Northern, Southern, Tsavo or Southern). All
confiscated samples are first secured, properly labelled and kept in
sealed bags, envelopes, or containers, then forwarded to the Wildlife
Forensics and Genetics Laboratory in Nairobi for molecular identification.
As such, this dataset contains the number and type of species identified
in the laboratory between 2015 and 2021.